Advanced technologies (e.g. AI, machine learning) are slowly permeating the real estate industry allowing owner/operators, investors, agents/brokers and other end-users of real estate to operate in a more efficient real estate marketplace. Consumers who are searching for their “dream-home” can use PropTech applications to review customized floor plans of home models, ideally in 3D. Owner/operators who seek to push NOI for their portfolio are now taking a data-first approach to manage operational workflows such as energy management, maintenance &repairs as well as CapEx forecasting. Other PropTech applications are leveraging big data to analyze locations and properties in a specific real estate market, while providing advanced information about specific properties. There many other PropTech start-ups that are pushing the real estate market to new heights. Nonetheless, we are still in the early innings.
5:00 PM | REGISTRATION & CHECK-IN
5:30 PM | OPENING REMARKS
5:35 PM | KEYNOTE ADDRESS
6:20 PM | PANEL
7:10 PM | Q & A
7:25 PM | CLOSING REMARKS
7:30 PM | NETWORKING & CATERED RECEPTION
- As real estate is an illiquid asset class in which the primary method of valuation is burdened price smoothing and appraisal estimation errors, how can the industry utilize AI, machine learning and big data to amplify the valuation industry (e.g. hedonic pricing models, which can be updated in real-time, that produce better distributions-to-fit , orr-squares)?
- As private equity seeks to reduce the j-curve effect and continues to push a secondary marketplace for trading of funds, how can new technology be used to amplify NAV calculations in order to make this marketplace more liquid/efficient?
- Tail Risk, which is amplified via securitizations and other structured products, continues to be problematic for investors in alternative asset classes (e.g. real estate mortgage-backed securities), how can our industry utilize new technology to measure this risk more accurately?
- How can investors synthesize millions of data-points ranging from non-traditional data-sources (e.g. mobile phone signal patterns and Yelp reviews) and traditional data-sources (e.g. area’s crime rate and median household income) with PropTech applications in order to find the next neighborhood “hot-spot” worthy of investment?
- As real estate of any given product-type fulfills the equilibrium need of the local economy, in tangible form, how can public enterprises utilize advanced PropTech technologies to zone and plan the equilibrium need, and effectively the highest & best use, for their respective community?
- The traditional 60/40 Stock/Bond Portfolio is dead. Adding alternative asset classes to the traditional portfolio enables investors to enhance the diversification and lower the correlation of their portfolio, add a more stable yield to their portfolio (e.g. infrastructure), hedge crisis risk (e.g. CTA’s) and other diversifiers and/or yield enhancers.However, these types of investment vehicles are not usually accessible to retailers. How can new PropTech applications bring direct real estate investment and other real assets to the retail community?